I n recent decades, antibiotic resistance has become a global health problem1. The emergence of drug-resistance
|
|
- Virginia Parker
- 6 years ago
- Views:
Transcription
1 OPEN SUBJECT AREAS: BACTERIAL GENE ENVIRONMENTAL MICROBIOLOGY Received 30 August 2013 Accepted 5 February 2014 Published 12 March 2014 Correspondence and requests for materials should be addressed to B.L.Z. (zhubaoli@im. ac.cn) or Z.Q.M. (mengzq@zaas.org) * These authors contributed equally to this work. DNA microarray analysis reveals that antibiotic resistance-gene diversity in human gut microbiota is age related Na Lu 1,2 *, Yongfei Hu 1,2 *, Liying Zhu 3 *, Xi Yang 1,2, Yeshi Yin 3, Fang Lei 4, Yongliang Zhu 5, Qin Du 5, Xin Wang 3, Zhiqi Meng 3 & Baoli Zhu 1,2 1 CAS key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China, 2 Beijing Key Laboratory of Microbial Drug Resistance and Resistome, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China, 3 Institute of Plant Protection and Microbiology, Zhejiang Academy of Agricultural Sciences, Hangzhou, China, 4 Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, China, 5 Dept. of Gastroenterology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China. The human gut is a reservoir for antibiotic resistance genes. In this report, we used a DNA microarray chip covering 369 resistance types to investigate the relationship between antibiotic resistance-gene diversity and human age. Metagenomic DNA from fecal samples from 124 healthy volunteers of four different age groups (pre-school-aged children (CH), school-aged children (SC), high school students (HSS) and adults (AD)) were hybridized to the microarray chip. The results showed that 80 different gene types were recovered from the gut microbiota of the 124 individuals: 25 from CH, 37 from SC, 58 from HSS and 72 from AD. Further analysis indicated that the antibiotic resistance genes in the CH, SC and AD groups clustered independently, whereas the gene types in the HSS group were more divergent. Our results indicated that antibiotic resistance genes in the human gut microbiota accumulate from childhood to adulthood and become more complex with age. I n recent decades, antibiotic resistance has become a global health problem1. The emergence of drug-resistance pathogens such as methicillin-resistant Staphylococcus aureus (MRSA) 2, multidrug-resistant (MDR) and/or extensively drug-resistant (XDR) Mycobacterium tuberculosis 3 and New Delhi metallo-beta-lactamase (NDM- 1) superbugs 4 has presented a significant challenge for the treatment of infectious diseases. The tremendous number of indigenous bacteria (microbiota) in the human gut act as a reservoir of antibiotic resistance genes 5. Due to the dense microbial population in this environment, the potential for antibiotic resistance-gene transfer is high. Significant evidence has accumulated from both in vivo and in vitro models that resistance genes can be exchanged among intestinal bacteria or even transferred to pathogens that pass through the colon 5,6. The spread of antibiotic resistance genes in the human gut represents a serious threat to human health, and the selective pressure caused by antibiotic use greatly increases this risk. The earliest example of this phenomenon was a study using a human volunteer that showed that antibiotic resistance transfer occurred between Escherichia coli of animal origin and the indigenous E. coli in the gastrointestinal tract (GIT) after treatment with therapeutic levels of tetracycline 7. In addition, selective pressure causing increased antibiotic resistance-gene transfer has been demonstrated in a clinical case in which ACC-1 AmpC was transferred from K. pneumoniae to indigenous E. coli during antibiotic treatment 8. Different approaches, such as the isolation of resistant strains, polymerase chain reaction, DNA microarray and metagenomic expression library screening, have been used to analyze antibiotic-resistance genes in human gut microbiota. Combining culture-independent and -dependent sampling strategies, Sommer et al. characterized a total of 210 antibiotic-resistance genes in the gut microbiome through functional screening of expression libraries 9. Their study suggested that the human microbiome could constitute a mobile reservoir of antibiotic resistance genes that are accessed by pathogenic bacteria to acquire antibiotic resistance. In another study involving screening fosmid libraries of tetracycline-resistance genes from the guts of a healthy mother-infant pairs one month after childbirth, Lisbeth et al. revealed the likely transmission of antibiotic resistance in the GIT from mother to infant, and their study indicated the possibility of gene transfer among distantly related bacteria co-inhabiting the GIT of the same individual 10. A recent study using microarray analyses of metagenomic DNA SCIENTIFIC REPORTS 4 : 4302 DOI: /srep
2 from healthy volunteers in six European countries demonstrated that tet(m) and tet(w) were the most prevalent tetracycline resistance genes in the oral and fecal metagenomes, respectively 11. Recently, we analyzed the antibiotic resistance genes in the gut microbiota of 162 individuals from three different populations, and we found that Chinese individuals harbored the highest number and greatest diversity of antibiotic resistance genes 12. However, little is known about the full profile of antibiotic resistance-gene diversity in different human age groups. In this study, we used a customdesigned DNA microarray containing most of the antibiotic resistance genes in the Antibiotic Resistance Genes Database (ARDB) to analyze the antibiotic resistance-gene diversity in the microbiota of 124 healthy Chinese volunteers belonging to four different age groups. Results Microarray design. An oligonucleotide-based DNA microarray was custom designed (Roche NimbleGen) to detect antibiotic resistance genes in human gut microbiota. This microarray contained a total of 8,746 probes targeting 2,915 antibiotic resistance genes that were classified into 369 antibiotic resistance gene types according to the ARDB. These antibiotic resistance-gene types covered most known antibiotics, including aminoglycosides (64 types), penicillin betalactamases (50 types), other beta-lactamases (17 types), amphenicols (40 types), trimethoprim (22 types), macrolide licosamide streptogramin_b (MLS B ) (52 types), sulfonamides (3 types), tetracyclines (40 types), vancomycin (37 types) and other antibiotics (50 types) (Supplementary Table 1). Microarray validation and determination of the detection threshold. Microarray validation was performed through the hybridization of genomic DNA from two E. coli isolates that were either susceptible or resistant to 8 antibiotics. The results indicated that all of the genes conferring resistance to the 8 antibiotics in the resistant E. coli yielded hybridization signal values higher than 10. In contrast, the values were all below 9 in the sensitive strain (Supplementary Table 2). The presence or absence of selected resistance genes in the two E. coli isolates was further confirmed using specific PCRs; the results were consistent with the microarray detection results (Supplementary Table 3). The signal threshold of 10 for the detection of resistance genes was also validated using other 5 multidrug-resistant clinical isolates. These results suggested that the microarray was able to detect most of the antibiotic-resistance genes using a signal threshold of more than 10, which was adopted in the subsequent hybridization analysis. Because the hybridization signals were low (threshold values of 9 and 10 for the sensitive and resistant strains, respectively) for cephalexin, amoxicillin and ampicillin, three beta-lactam antibiotics, we analyzed the range of the hybridization signals for all 17 beta-lactamase-type genes in each sample when a threshold of 10 was used. The results showed that the signal values differed from type to type and were significantly higher than the threshold of 10 in most of the samples (Supplementary Figure 1), suggesting that beta-lactamase resistance genes can be reliably detected using this threshold. Detection of antibiotic resistance genes in human gut microbiota. Fecal samples from 124 healthy volunteers were collected in Hangzhou, China. These volunteers were grouped based on their age: pre-school-aged children (CH, 3 5 years old), school-aged children (SC, years old), high school students (HSS, years old) and adults (AD, years old) (Supplementary Table 4). Metagenomic DNA from the fecal samples of the volunteers was hybridized to the antibiotic resistance microarray. The results showed that a total of 80 different antibiotic resistance-gene types were recovered from the gut microbiota of the 124 individuals, including genes conferring resistance to aminoglycosides (17), penicillin beta-lactams (11), other beta-lactams (8), amphenicols (5), trimethoprim (1), MLS B (12), sulfonamides (2), tetracyclines (10) and other antibiotics (14). Interestingly, the diversity of antibiotic resistance-gene types in the human gut microbiota tended to increase with age; 25, 37, 58 and 72 gene types were identified in the CH, SC, HSS and AD groups, respectively (Supplementary Table 5). The average number of gene types in an individual of the CH, SC, HSS and AD groups was 8, 14, 15 and 24, respectively; the difference between any two groups was statistically significant, except for the difference between the SC and HSS groups. Moreover, 20 resistance genes were shared among all 4 groups, 12 were shared among the SC, HSS and AD groups and 17 were shared between the HSS and AD groups (Fig. 1A). A total of 0, 3, 4 and 19 unique genes were detected in the CH, SC, HSS and AD groups, respectively. Diversity of antibiotic resistance-gene types is age-associated. We then calculated the antibiotic resistance gene-type diversity coefficients (Gini-Simpson index) for each group. The values for the CH, SC, HSS and AD groups were 0.061, 0.067, and 0.202, respectively; the difference between any two groups was significant, except for the difference between the CH and SC groups (Fig. 1B), and the Spearman correlation coefficient between the age of each individual and the number of antibiotic resistance-gene types was (p, ) (Supplementary Figure 2), suggesting that the antibiotic resistance gene-type diversity gradually increased with age. Additionally, principal coordinate analysis (PCoA) showed that the individuals in the CH, SC and AD groups clustered independently, meaning that the antibiotic resistance gene-type profiles in these individuals were more similar within the group. The exception to this trend was the HSS group, whose individuals were scattered among the other three groups, but overall, this group clustered most closely to the SC group (Fig. 2A). Similar clustering results were reflected in the neighbor-joining (NJ) tree (Fig. 2B). Furthermore, the AD group in the NJ tree was very distant from the other three groups, suggesting that the antibiotic resistance gene-type profile in the AD individuals was highly different from the other three groups. Additionally, the CH group was the outlier in the NJ tree, followed by the SC group, the HSS group and the AD group, which constituted the innermost layer; the distance between individuals increased with age. These results indicated that the antibiotic resistance-gene diversity in the human gut microbiota was increasingly complex as individuals aged and that diversity likely accumulated from childhood to adulthood. Discussion Microarray analysis has been widely used to detect antibiotic resistance genes in clinical isolates of metagenomic samples of various origins 11, However, most of the microarrays used in these studies covered a limited number of genes and usually targeted the antibiotic resistance genes of a specific class of antibiotics, such as aminoglycosides, tetracyclines and/or erythromycins. In this study, we used a custom-designed antibiotic resistance-gene microarray that covered almost all known antibiotic resistance genes for the 9 major classes of antibiotics. To our knowledge, this is the most informative antibiotic resistance microarray to date. Additionally, this is the first study to investigate the antibiotic resistance-gene types and their diversity in the microbiota of healthy people at different ages. We identified a total of 80 antibiotic resistance-gene types in the microbiota of the 124 samples that crossed our detection threshold. The development of antibiotic resistance in microbes can be attributed to many factors, among which antibiotic use is the most important. A direct correlation between antimicrobial use and the extent of antimicrobial resistance has been reported 18. When antibiotics are administered, the balance between the human host and its associated SCIENTIFIC REPORTS 4 : 4302 DOI: /srep
3 Figure 1 (A) Venn diagram of the antibiotic resistance-gene types shared between the groups and (B) Diversity analysis of the antibiotic resistance-gene types in each group. The following abbreviations were used: CH, pre-school-aged children; SC, school-aged children; HSS, high school students; and AD, adults. The different colors in panel (A) represent the different groups: red, CH group; blue, SC group; green, HSS group; and yellow, AD group; one antibiotic resistance-gene type shared among the CH, SC and AD groups is not presented. The Gini-Simpson index was calculated using GENALEX 6. microorganisms can be dramatically disturbed, leading to the emergence of diseases as well as antibiotic-resistant strains 19,20. Recently, the large-scale characterization of the human gut microbiome in different age populations has shown that the complexity of gut microbiota increases after birth, matures during the first 3 years of life at both the species and gene levels and decreases with age 21. However, our results revealed that the number of antibiotic resistance-gene types in the human gut tended to increase with age; the older age groups possessed a higher diversity of antibiotic resistancegene types than the younger groups. Additionally, the antibiotic Figure 2 (A) Principal coordinate analysis and (B) the neighbor-joining tree of antibiotic resistance genes in each individual. The NJ tree was constructed based on the 0/1 data for each sample. The accession numbers are noted at the ends of each branch, and the group information is shown in brackets after the accession number. The four different groups are represented by different colors as in Figure 1. SCIENTIFIC REPORTS 4 : 4302 DOI: /srep
4 resistance genes were more diverse between individuals in the older groups than in the younger groups. We hypothesize that this diversity may be caused by selective pressures, particularly exposure to antibiotics. It has been reported that antimicrobial agents not only have shortterm impacts on the human microbiota but also exert long-term influence. For example, in a study that involved 7 days of treatment with clindamycin and 2 years of follow-up sampling, the diversity of Bacteroides isolates declined sharply, and the Bacteroides community never returned to its original composition 22. Additionally, a dramatic and persistent increase in the levels of specific resistance genes was observed after the clindamycin treatment. In another study, Sjölund et al. showed that resistant enterococci harboring erm(b) could be isolated immediately following a regimen (clarithromycin, metronidazole and omeprazole) that is widely used to eradicate Helicobacter pylori, and the resistant strains persisted for at least 3 years without further selection 20. In our study, although the volunteers we used for sampling had not been exposed to any antibiotic agents in the past 3 months, we cannot exclude the possibility that they were previously exposed to antibiotics. Therefore, the increased diversity and accumulation of antibiotic resistance genes in the human gut may be partly attributable to gradual antibiotic exposure; in other words, the older individuals may have been exposed to a more diverse set of antibiotics or more antibiotic-resistant microorganisms than the younger individuals. In this study, we determined the antibiotic resistance-gene diversity in the human gut microbiota of individuals of different ages using DNA microarray analysis. We found that antibiotic resistance genes were prevalent in the human gut, and older people harbored more complex and more diverse antibiotic resistance genes than younger individuals, which could potentially be explained by gradual exposure to different antibiotics. Although the microarray we used was validated using clinical isolates, it is worth noting that false-positive and false-negative hybridization signals could not be completely excluded when using metagenomic DNA from gut microbiota. Additionally, because the development of antibiotic resistance involves complicated mechanisms, the presence of these genes cannot be attributed only to antibiotic use; other factors such as bacterial intrinsic resistance (efflux pumps) 23 and heavy metal selection 24, among others, can also increase resistance, and their role should be further investigated. Materials and methods Probe design. To design the probes used to detect the antibiotic resistance genes in the human gut microbiota, all of the protein sequences of the antibiotic resistance genes in the ARDB (version 1.0) 25 were downloaded on Dec 20, We then determined the gene sequences of these antibiotic resistance proteins using a tblastn search against the NCBI nr database, and only sequences with more than 95% sequence identity were used; next, we classified these antibiotic resistance-gene sequences into 369 resistance types according to the ARDB, and the gene sequences corresponding to all 369 antibiotic resistance-gene types were used for probe design and microarray production. The antibiotic resistance gene microarray was custom-designed (Roche NimbleGen) based on a single chip containing 3 internal replicated probe sets of 12 probes per resistance gene to cover the whole 315K 12-plex platform. The mean GC content and Tm of all the probes were % and uC, respectively. Random oligonucleotides were used as control probes. Thus, every antibiotic resistance gene was represented by twelve 60-mer probes that were synthesized in situ by photolithography on glass slides; a random positional pattern was used. Samples and DNA extraction. Two clinical Escherichia coli isolates with different resistance phenotypes and five other multidrug resistance isolates from Hangzhou Yifu hospital were used to validate the new antibiotic resistance microarray. The minimal inhibition concentrations (MICs) for 8 antibiotics (tetracycline, cephalexin, amoxicillin, ampicillin, streptomycin, kanamycin, chloramphenicol and gentamicin) were determined for these isolates using the broth microdilution method as described in the Clinical and Laboratory Standards Institute guidelines 26. Bacterial genomic DNA was extracted following a standard protocol 27. The presence or absence of selected resistance genes in the E. coli isolates was further confirmed by specific PCRs using the primers listed in Supplementary Table 3; the resulting PCR products were then sequenced using a 3730 DNA Analyzer. A total of 124 fecal samples were collected from healthy volunteers in Hangzhou, China. None of the volunteers had taken any antibiotic agents in the prior 3 months. DNA from the gut microbiomes was extracted directly from each fecal sample using the QIAamp DNA Stool Mini kit according to the manufacturer s protocol. This research was approved by the Research Ethics Committee of the Institute of Microbiology, Chinese Academy of Sciences, and informed consent was obtained from each subject. Microarray hybridization and scanning. After sonication, 1 mg of DNA fragments (500 to 2,000 bp) was labeled by Cy3-dUTP (TriLink Biotechnologies) incorporation using Klenow fragment polymerase (NEB). The labeled genomic DNA (2 mg) was hybridized to the arrays in NimbleGen Hybridization Buffer for 16 hours at 42uC using a MAUI hybridization system (BioMicro Systems, Inc., Salt Lake City, Utah). Then, the hybridized arrays were washed with NimbleGen wash buffer, spun dry in a microarray high-speed centrifuge (TeleChem International, Inc., Sunnyvale, CA) and stored until scanned. The GenepixH 4000B scanner (Axon Instruments, Union City, CA) was used to scan the microarrays at a 5-mm resolution. Data analysis. The Burst Multiplex Image system was used to divide each array into 12 smaller arrays and then to extract the pixel intensities of each smaller array. All of the data in each array were normalized as described by Bolstad et al. 28. The gene calls were generated using the Robust Multichip Average (RMA) algorithm 29. These analyses were performed with the NimbleScan TM v2.4 software (NimbleGen). Because each probe had three internal replicates in the antibiotic resistance microarray, we derived three fluorescence intensity values for each gene after RMA analysis, and the average value was regarded as the antibiotic resistance-gene value. The antibiotic resistance gene-type value was defined as the sum of all of the antibiotic resistancegene values that belonged to one antibiotic resistance-gene type. Notably, the value we obtained for each gene was its fluorescence intensity signal divided by the background signal generated by the random oligonucleotides (control probes) and was, therefore, a fold value. Student s t-test was used for the statistical comparisons between any two groups. The microarray data were deposited in the National Center for Biotechnology Information Gene Expression Omnibus Database (GEO; gov/geo/) under accession number GSE The signal threshold value for detection was determined by comparing the results of the drug sensitivity tests and the antibiotic resistance gene-type values. The antibiotic resistance gene-type values above the threshold value were considered positive, while results below the threshold value were considered negative; the positive and negative antibiotic resistance-gene type results in each sample were converted to 1 and 0, respectively, to generate the antibiotic resistance gene-type profile. The antibiotic resistance gene-type diversity (Gini-Simpson index) and the principal coordinate analysis (PCoA) of the gene-type profile in each individual were calculated using GENALEX The neighbor-joining tree was constructed using PUPL 4.0 and was based on the antibiotic resistance gene-type profile. 1. Wise, R. et al. Antimicrobial resistance: is a major threat to public health. B. M. J. 317, 609 (1998). 2. Hiramatsu, K., Cui, L., Kuroda, M. & Ito, T. The emergence and evolution of methicillin-resistant Staphylococcus aureus. Trends Microbiol. 9, (2001). 3. Riccardi, G., Pasca, M. R. & Buroni, S. Mycobacterium tuberculosis: drug resistance and future perspectives. Future Microbiol. 4, (2009). 4. Hammerum, A. M. et al. Global spread of New Delhi metallo-b-lactamase 1. Lancet Infect. Dis. 10, (2010). 5. Salyers, A. A., Gupta, A. & Wang, Y. Human intestinal bacteria as reservoirs for antibiotic resistance genes. Trends Microbiol. 12, (2004). 6. Schjørring, S. & Krogfelt, K. A. Assessment of bacterial antibiotic resistance transfer in the gut. Int. J. Microbiol (2011). 7. Burton, D. C., Hirsh, D., Blenden, D. & Zeigler, J. The effect of tetracycline upon establishment of Escherichia coli of bovine origin in the enteric tract of man. J. Appl. Microbiol. 37, (1974). 8. Bidet, P. et al. In vivo transfer of plasmid-encoded ACC-1 AmpC from Klebsiella pneumoniae to Escherichia coli in an infant and selection of impermeability to imipenem in K. pneumoniae. Antimicrob. Agents Chemother. 49, (2005). 9. Sommer, M. O. A., Dantas, G. & Church, G. M. Functional characterization of the antibiotic resistance reservoir in the human microflora. Science 325, (2009). 10. de Vries, L. E. et al. The gut as reservoir of antibiotic resistance: microbial diversity of tetracycline resistance in mother and infant. PloS One 6, e21644 (2011). 11. Seville, L. A. et al. Distribution of tetracycline and erythromycin resistance genes among human oral and fecal metagenomic DNA. Microb. Drug Resist. 15, (2009). 12. Hu, Y. et al. Metagenome-wide analysis of antibiotic resistance genes in a large cohort of human gut microbiota. Nat. Commun. 4, 2151 (2013). 13. Zou, W. et al. Microarray analysis of antimicrobial resistance genes in Salmonella enterica from preharvest poultry environment. J. Appl. Microbiol. 107, (2009). 14. Card, R. et al. Evaluation of an expanded microarray for detecting antibiotic resistance genes in a broad range of Gram-negative bacterial pathogens. Antimicrob. Agents Chemother. 57, (2013). 15. Volokhov, D., Chizhikov, V., Chumakov, K. & Rasooly, A. Microarray analysis of erythromycin resistance determinants. J. Appl. Microbiol. 95, (2003). SCIENTIFIC REPORTS 4 : 4302 DOI: /srep
5 16. Davignon, L. et al. Use of resequencing oligonucleotide microarrays for identification of Streptococcus pyogenes and associated antibiotic resistance determinants. J. Clin. Microbiol. 43, (2005). 17. Perreten, V. et al. Microarray-based detection of 90 antibiotic resistance genes of gram-positive bacteria. J. Clin. Microbiol. 43, (2005). 18. Goossens, H., Ferech, M., Vander Stichele, R. & Elseviers, M. Outpatient antibiotic use in Europe and association with resistance: a cross-national database study. Lancet 365, (2005). 19. De La Cochetiere, M. et al. Resilience of the dominant human fecal microbiota upon short-course antibiotic challenge. J. Clin. Microbiol. 43, (2005). 20. Sjölund, M., Wreiber, K., Andersson, D. I., Blaser, M. J. & Engstrand, L. Long-term persistence of resistant Enterococcus species after antibiotics to eradicate Helicobacter pylori. Ann. Intern. Med 139, 483 (2003). 21. Yatsunenko, T. et al. Human gut microbiome viewed across age and geography. Nature 486, (2012). 22. Jernberg, C., Löfmark, S., Edlund, C. & Jansson, J. K. Long-term ecological impacts of antibiotic administration on the human intestinal microbiota. ISME J. 1, (2007). 23. Piddock, L. J. V. Multidrug-resistance efflux pumps? not just for resistance. Nat. Rev. Microbiol. 4, (2006). 24. Baker-Austin, C., Wright, M. S., Stepanauskas, R. & McArthur, J. Co-selection of antibiotic and metal resistance. Trends Microbiol. 14, (2006). 25. Liu, B. & Pop, M. ARDB antibiotic resistance genes database. Nucleic Acids Res. 37, D443 D447 (2009). 26. Institute, C. L. S. Performance Standards for Antimicrobial Susceptibility Testing; Twentieth Informational Supplement. CLSI Document M100-S20 (2010). 27. Sambrook, J., Fritsch, E. F. & Maniatis, T. Molecular Cloning: A Laboratory Manual, 2nd ed., (Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY., 1989). 28. Bolstad, B. M., Irizarry, R. A., Astrand, M. & Speed, T. P. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics 19, (2003). 29. Irizarry, R. A. et al. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res. 31, e15 (2003). 30. Peakall, R. & Smouse, P. E. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol. Ecol. Notes 6, (2006). Acknowledgments This work was supported in part by the National Natural Science Foundation of China (NSFC) (Grant No ), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA ) and the Beijing Municipal Science & Technology Development Program. Author contributions B.Z., Z.M. and Y.H. conceived and designed the project. L.Z., Y.Y., F.L., Y.Z. and Q.D. collected the fecal samples from the volunteers and performed the DNA extractions. N.L. performed the microarray hybridization. Y.H., N.L. and X.Y. performed the data analysis, and Y.H. and N.L. wrote the manuscript. X.W. helped analyze the results. N.L., Y.H. and L.Z. contributed equally to the work. All of the authors read and approved the final manuscript. Additional information Supplementary information accompanies this paper at scientificreports Competing financial interests: The authors declare no competing financial interests. How to cite this article: Lu, N. et al. DNA microarray analysis reveals that antibiotic resistance-gene diversity in human gut microbiota is age related. Sci. Rep. 4, 4302; DOI: /srep04302 (2014). This work is licensed under a Creative Commons Attribution- NonCommercial-NoDerivs 3.0 Unported license. To view a copy of this license, visit SCIENTIFIC REPORTS 4 : 4302 DOI: /srep
Antibiotic Resistance Genes: From The Farm To The Human Gut
Shanghai 2015 Antibiotic Resistance Genes: From The Farm To The Human Gut Baoli Zhu, PhD Institute of Microbiology, Chinese Academy Beijing Key Lab of Microbial Drug Resistance and Resistome zhubaoli@im.ac.cn
More informationChallenges and opportunities for whole genome sequencing based surveillance of antibiotic resistance
Challenges and opportunities for whole genome sequencing based surveillance of antibiotic resistance Prof. Willem van Schaik Professor in Microbiology and Infection Institute of Microbiology and Infection
More informationUse of Molecular Assays for Resistance Detection
Use of Molecular Assays for Resistance Detection Antimicrobial resistance and susceptibility are complex, and current in vitro methods have been developed to predict a microorganism s response to antibacterial
More informationGenetika Mikroorganisme. dr. Agus Eka Darwinata, Ph.D
Genetika Mikroorganisme dr. Agus Eka Darwinata, Ph.D Gene and Genome The Central Dogma Mutation TOPIC Polimerase Chain Reaction Mechanism of Antimicrobioal Resistance Gene and Genome Genom adalah keseluruhan
More informationCurriculum Vitae. Abbas Maleki, Ph.D. Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran
Curriculum Vitae Abbas Maleki, Ph.D Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran E-mail: abbasmaleki_ilam@yahoo.com maleki-a@medilam.ac.ir Tel: +989187419401 Personal
More informationCloning and Characterization of E. meningoseptica Beta Lactamase
Cloning and Characterization of E. meningoseptica Beta Lactamase Authors: Lindsey Purcell, Jessica Matts, Patricia Canaan* Department of Biochemistry and Molecular Biology Abstract Elizabethkingia meningoseptica
More informationTHE HUMAN MICROBIOME: RECENT DISCOVERIES AND APPLICATIONS TO MEDICINE
THE HUMAN MICROBIOME: RECENT DISCOVERIES AND APPLICATIONS TO MEDICINE American Society for Clinical Laboratory Science April 21, 2017 Richard A. Van Enk, Ph.D., CIC FSHEA Director, Infection Prevention
More informationHuman Microbiome Project: First Map of the World Within Us. Hsin-Jung Joyce Wu "Microbiota and man: the story about us
Human Microbiome Project: First Map of the World Within Us Immune disorders: The new epidemic Gut microbiota: health and disease Disease Health Human Microbiome Project: The concept of superorganism :
More informationLecture #1. Introduction to microarray technology
Lecture #1 Introduction to microarray technology Outline General purpose Microarray assay concept Basic microarray experimental process cdna/two channel arrays Oligonucleotide arrays Exon arrays Comparing
More informationInside the Burch Lab: E. Coli and Triclosan Resistance. By: Pamela Lammonds
Inside the Burch Lab: E. Coli and Triclosan Resistance By: Pamela Lammonds Purpose and Goals of Research Concerns over infectious disease have risen in the past few years. In response to this concern,
More informationAntimicrobial and Antibacterial Agents
Antimicrobial and Antibacterial Agents Contents Introduction Classification of antimicrobial drugs Special terms Mechanism of action Resistance of antimicrobial agent Introduction Joseph Lister 1867 -
More informationAntimicrobial Drugs. Antimicrobial Drugs. The dawn of antibiotics. Alexander Fleming. Chain and Florey. Antibiotics
Antimicrobial Drugs Antimicrobial Drugs Chemotherapy: The use of drugs to treat a disease Antimicrobial drugs: Interfere with the growth of microbes within a host Antibiotic: Substance produced by a microbe
More informationSUMMARY. Key words: antibioticresistance, Enterobacteriaceae, ESBL, CTX-M,
SUMMARY Key words: antibioticresistance, Enterobacteriaceae, ESBL, CTX-M, The doctoral thesis entitled Prevalence of Enterobacteriaceae producing extendedspectrum beta-lactamases (ESBL) isolated from broilers
More informationAntibiotics and alternative strategies to control infections
Antibiotics and alternative strategies to control infections http://blog.microbiologics.com/wpcontent/uploads/2015/12/acinetob acter-baumannii-232x300.jpg www.biochemj.org/bj/330/0581/bj3300581.htm ciss.blog.olemiss.edu
More informationPatentability/Literature Research
Patentability/Literature Research The probiotic-based solution to combat cholera as presented here comprises of two major innovative components: (1) the metabolite-dependent pathogen inhibition by a probiotic
More informationGene Expression Technology
Gene Expression Technology Bing Zhang Department of Biomedical Informatics Vanderbilt University bing.zhang@vanderbilt.edu Gene expression Gene expression is the process by which information from a gene
More informationMutagenesis for Studying Gene Function Spring, 2007 Guangyi Wang, Ph.D. POST103B
Mutagenesis for Studying Gene Function Spring, 2007 Guangyi Wang, Ph.D. POST103B guangyi@hawaii.edu http://www.soest.hawaii.edu/marinefungi/ocn403webpage.htm Overview of Last Lecture DNA microarray hybridization
More informationFunctional Metagenomics to Capture the Soil Resistome. Jo Handelsman University of Wisconsin-Madison
Functional Metagenomics to Capture the Soil Resistome Jo Handelsman University of Wisconsin-Madison ne rigin of Metagenomics: Communication in Microbial Communities Ecological roles of antibiotics in communities
More informationMolecular methods for detection of Antibiotic Resistance in environmental matrices: limits, prospects and challenges.
Dr. Angela Cicatelli acicatelli@unisa.it Molecular methods for detection of Antibiotic Resistance in environmental matrices: limits, prospects and challenges. 1st Workshop on "Risk prognosis of environmental
More informationAt the age of big data sequencing, what's new about the naughty and efficient microbes within the WWTPs
At the age of big data sequencing, what's new about the naughty and efficient microbes within the WWTPs Jean-Jacques Godon INRA, UR0050, Laboratoire de Biotechnologie de l Environnement, Narbonne, F-11100
More informationCHAPTER 2A HOW DO YOU BEGIN TO CLONE A GENE? CHAPTER 2A STUDENT GUIDE 2013 Amgen Foundation. All rights reserved.
CHAPTER 2A HOW DO YOU BEGIN TO CLONE A GENE? 35 INTRODUCTION In the Program Introduction, you learned that the increase in diabetes in the United States has resulted in a great demand for its treatment,
More informationCuring antibiotic resistance in vivo. Muhammad Kamruzzaman
Curing antibiotic resistance in vivo Muhammad Kamruzzaman Occurrence of resistance -Some bacteria are naturally resistant to certain antibiotics -Gene mutation -Horizontal transfer of antibiotic resistance
More informationMicrobiota: Agents for Health and Disease Dr. B. Brett Finlay
Microbiota: Agents for Health and Disease, OC, OBC Michael Smith Laboratory University of British Columbia Vancouver, Canada 1 Talk outline A general overview: Several aspects of microbiota Various contribution
More informationAntimicrobial Agents and Chemotherapy New Data Letter
AAC Accepted Manuscript Posted Online 15 August 2016 Antimicrob. Agents Chemother. doi:10.1128/aac.01519-16 Copyright 2016, American Society for Microbiology. All Rights Reserved. 1 Antimicrobial Agents
More informationHow antimicrobial agents work
Physical and Chemical Control of Microbes Physical Agents heat or radiation Chemical Agents disinfectants or antiseptics Important Terms 1. Sterilization process of killing all viable microbes 2. Bactericide
More informationJOHN DEMPSEY HOSPITAL Farmington, Connecticut ANTIBIOTIC SUSCEPTIBILITY PROFILES for INPATIENT Bacterial Isolates
JOHN DEMPSEY HOSPITAL Farmington, Connecticut 2017 ANTIBIOTIC SUSCEPTIBILITY PROFILES for INPATIENT Bacterial Isolates **GROUPED BY CULTURE SOURCES** (data from 1/1/17 1/1/18) Prepared by: UCHC/JDH Antimicrobial
More informationSoils and Human Health
Soils and Human Health National Geographic. Sept 2008 The nation that destroys its soil, destroys itself. - Franklin Delano Roosevelt Haiti has lost its soil and the means to feed itself Rattan Lal, National
More informationIntroduction to BioMEMS & Medical Microdevices DNA Microarrays and Lab-on-a-Chip Methods
Introduction to BioMEMS & Medical Microdevices DNA Microarrays and Lab-on-a-Chip Methods Companion lecture to the textbook: Fundamentals of BioMEMS and Medical Microdevices, by Prof., http://saliterman.umn.edu/
More informationPrevalence of Shiga-Toxin Producing Escherichia Coli in Two Cohorts of Beef Cattle is Associated with Diversity of Microflora and Animal Age
Prevalence of Shiga-Toxin Producing Escherichia Coli in Two Cohorts of Beef Cattle is Associated with Diversity of Microflora and Animal Age Raies A. Mir 1,2, Sarah M. Markland 1,2, Mauricio Elzo 1, Soohyoun
More informationDeoxyribonucleic Acid DNA
Introduction to BioMEMS & Medical Microdevices DNA Microarrays and Lab-on-a-Chip Methods Companion lecture to the textbook: Fundamentals of BioMEMS and Medical Microdevices, by Prof., http://saliterman.umn.edu/
More informationAn introduction into 16S rrna gene sequencing analysis. Stefan Boers
An introduction into 16S rrna gene sequencing analysis Stefan Boers Microbiome, microbiota or metagenomics? Microbiome The entire habitat, including the microorganisms, their genomes (i.e., genes) and
More informationEcology of bla NDM and mcr-1
Editorial Page 1 of 5 Ecology of bla NDM and mcr-1 Jose Francisco Delgado-Blas, Bosco R. Matamoros, Bruno Gonzalez-Zorn Department of Animal Health and VISAVET, Universidad Complutense de Madrid, Madrid,
More informationDNA/RNA MICROARRAYS NOTE: USE THIS KIT WITHIN 6 MONTHS OF RECEIPT.
DNA/RNA MICROARRAYS This protocol is based on the EDVOTEK protocol DNA/RNA Microarrays. 10 groups of students NOTE: USE THIS KIT WITHIN 6 MONTHS OF RECEIPT. 1. EXPERIMENT OBJECTIVE The objective of this
More informationSelenium nanoparticles and their utilization in scaffolds. Prof. RNDr. Vojtech Adam, Ph.D. Mgr. Dagmar Hegerova, Ph.D. Mendel University in Brno
Selenium nanoparticles and their utilization in scaffolds Prof. RNDr. Vojtech Adam, Ph.D. Mgr. Dagmar Hegerova, Ph.D. Mendel University in Brno 2 Content 1. Nanoparticles silver, selenium Staphylococcus
More informationAntibiotic resistance and plasmids in Staphylococcus aureus from normal populations
Journal of Antimicrobial Chemotherapy (99) 9, 3-39 Antibiotic resistance and plasmids in Staphylococcus aureus from normal populations Zarin Vlranl and W. C. NoMe* Department of Microbial Diseases, Institute
More informationVanABC plus. GENSPEED VanABC plus. Molecular multiplex assay for maximum information.
VanABC plus GENSPEED VanABC plus Molecular multiplex assay for maximum information www.genspeed-biotech.com Vancomycin Resistance? VanABC plus for all relevant targets GENSPEED VanABC plus Molecular multiplex
More informationAntimicrobial Resistance Prediction Using Deep Convolutional Neural Networks on Whole Genome Sequencing Data
Antimicrobial Resistance Prediction Using Deep Convolutional Neural Networks on Whole Genome Sequencing Data PRIMES Research Report by: Andrew Zhang Mentor: Dr. Gil Alterovitz PRIMES Conference October
More informationMedicinal Chemistry of Modern Antibiotics
Chemistry 259 Medicinal Chemistry of Modern Antibiotics Spring 2012 Lecture 5: Modern Target Discovery & MOA Thomas Hermann Department of Chemistry & Biochemistry University of California, San Diego Drug
More informationMedicinal Chemistry of Modern Antibiotics
Chemistry 259 Medicinal Chemistry of Modern Antibiotics Spring 2008 Lecture 5: Modern Target Discovery & MOA Thomas Hermann Department of Chemistry & Biochemistry University of California, San Diego Drug
More informationMicroarrays & Gene Expression Analysis
Microarrays & Gene Expression Analysis Contents DNA microarray technique Why measure gene expression Clustering algorithms Relation to Cancer SAGE SBH Sequencing By Hybridization DNA Microarrays 1. Developed
More informationExperience of Transitioning from Phenotype to Genotype using Whole Genome Sequencing for Antimicrobial Resistance Surveillance.
Experience of Transitioning from Phenotype to Genotype using Whole Genome Sequencing for Antimicrobial Resistance Surveillance. Dr. Muna Anjum Molecular Lead: Antimicrobial Resistance and Enteric Pathogens,
More informationIntroduction to Microarray Technique, Data Analysis, Databases Maryam Abedi PhD student of Medical Genetics
Introduction to Microarray Technique, Data Analysis, Databases Maryam Abedi PhD student of Medical Genetics abedi777@ymail.com Outlines Technology Basic concepts Data analysis Printed Microarrays In Situ-Synthesized
More informationPrevention of Transmission of the Superbug Carbapenem-Resistant Enterobacteriaceae (CRE) during Gastrointestinal Endoscopy
Prevention of Transmission of the Superbug Carbapenem-Resistant Enterobacteriaceae (CRE) during Gastrointestinal Endoscopy Sponsored by: Presentation by: Lawrence F. Muscarella, Ph.D. President LFM Healthcare
More informationAYURG Application (Winter 2017): Environmental Engineering; Microbiology. Antimicrobial resistance of Staphylococcus aureus in the dust microbiome
Antimicrobial resistance of Staphylococcus aureus in the dust microbiome AYURG Natural Sciences and Engineering (NSE) Tags: Lab-based This cover page is meant to focus your reading of the sample proposal,
More informationMethicillin-resistant Staphylococcus aureus (MRSA)
TM Primerdesign Ltd Methicillin-resistant Staphylococcus aureus (MRSA) meca (penicillin binding protein 2) & S. aureus FEMB gene (chromosomal gene) genesig Standard Kit 150 tests For general laboratory
More informationExperiment 9: Isolation, Characterization and Identification of Antibiotic Producing Bacteria
Experiment 9: Isolation, Characterization and Identification of Antibiotic Producing Bacteria Antibiotics are one of the most important discoveries of humankind in the modern world. Antibiotics are chemicals
More informationMechanisms of Genetic Variation. Copyright McGraw-Hill Global Education Holdings, LLC. Permission required for reproduction or display.
16 Mechanisms of Genetic Variation Copyright McGraw-Hill Global Education Holdings, LLC. Permission required for reproduction or display. 1 Mutations: Their Chemical Basis and Effects Stable, heritable
More informationScreening for Resistant Organisms and Infection Control
Screening for Resistant Organisms and Infection Control Dr Sonal Saxena Professor Department of Microbiology Lady Hardinge Medical College New Delhi 1 MDRO The proportion of K. pneumoniae and E. coli with
More informationSTABILITY OF INTESTINAL TRACT MICROFLORA AS DETERMINED BY TRF PATTERN ANALYSIS OF 16S RIBOSOMAL RNA GENE. By Catherine Houchen-Wise
STABILITY OF INTESTINAL TRACT MICROFLORA AS DETERMINED BY TRF PATTERN ANALYSIS OF 16S RIBOSOMAL RNA GENE By Catherine Houchen-Wise ABSTRACT To determine the stability of prokaryotic microflora in the intestinal
More informationMethicillin-resistant Staphylococcus aureus (MRSA) genesig Easy Kit 2 Target Gene Kit for use on the genesig q reaction.
TM Primerdesign Ltd Methicillin-resistant Staphylococcus aureus (MRSA) genesig Easy Kit 2 Target Gene Kit for use on the genesig q16 50 reaction For general laboratory and research use only 1 genesig Easy:
More informationGenome sequence of Acinetobacter baumannii MDR-TJ
JB Accepts, published online ahead of print on 11 March 2011 J. Bacteriol. doi:10.1128/jb.00226-11 Copyright 2011, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.
More informationMicrobiota - how to test it and interpret? Knut Rudi, Professor Microbial Diversity Lab
Microbiota - how to test it and interpret? Knut Rudi, Professor Microbial Diversity Lab Transition from infant- to adult-like microbiota Norwegian University of Life Sciences 2 Gut microbiota throughout
More informationRIPTIDE HIGH THROUGHPUT RAPID LIBRARY PREP (HT-RLP)
Application Note: RIPTIDE HIGH THROUGHPUT RAPID LIBRARY PREP (HT-RLP) Introduction: Innovations in DNA sequencing during the 21st century have revolutionized our ability to obtain nucleotide information
More informationGene expression analysis. Biosciences 741: Genomics Fall, 2013 Week 5. Gene expression analysis
Gene expression analysis Biosciences 741: Genomics Fall, 2013 Week 5 Gene expression analysis From EST clusters to spotted cdna microarrays Long vs. short oligonucleotide microarrays vs. RT-PCR Methods
More informationConducting Microbiome study, a How to guide
Conducting Microbiome study, a How to guide Sam Zhu Supervisor: Professor Margaret IP Joint Graduate Seminar Department of Microbiology 15 December 2015 Why study Microbiome? ü Essential component, e.g.
More informationSalmonella enterica PCR and Culture Workflow at WVDL
Salmonella enterica PCR and Culture Workflow at WVDL Salmonella diagnostic testing can be challenging to interpret and apply to clinical or pathology samples. The WVDL has implemented changes to the workflow,
More informationThe GeneEditor TM in vitro Mutagenesis System: Site- Directed Mutagenesis Using Altered Beta-Lactamase Specificity
Promega Notes Magazine Number 62, 1997, p. 02 The GeneEditor TM in vitro Mutagenesis System: Site- Directed Mutagenesis Using Altered Beta-Lactamase Specificity By Christine Andrews and Scott Lesley Promega
More informationMICROBIOME STANDARDS & RESEARCH SOLUTIONS
THE ESSENTIALS OF LIFE SCIENCE RESEARCH GLOBALLY DELIVERED MICROBIOME STANDARDS & RESEARCH SOLUTIONS Mock Microbial Communities Site-specific Standards STANDARDIZE YOUR WORKFLOW AND OPTIMIZE ASSAY PERFORMANCE
More informationWhole Genome Sequence Data Quality Control and Validation
Whole Genome Sequence Data Quality Control and Validation GoSeqIt ApS / Ved Klædebo 9 / 2970 Hørsholm VAT No. DK37842524 / Phone +45 26 97 90 82 / Web: www.goseqit.com / mail: mail@goseqit.com Table of
More informationAssociation of gyra mutation in Mycobacterium tuberculosis isolates with phenotypic ofloxacin resistance detected by resazurin microtiter assay
Association of gyra mutation in Mycobacterium tuberculosis isolates with phenotypic ofloxacin resistance detected by resazurin microtiter assay Dr Asho Ali King Abdul Aziz University Jeddah, Saudi Arabia
More informationMeasuring gene expression (Microarrays) Ulf Leser
Measuring gene expression (Microarrays) Ulf Leser This Lecture Gene expression Microarrays Idea Technologies Problems Quality control Normalization Analysis next week! 2 http://learn.genetics.utah.edu/content/molecules/transcribe/
More informationChapter 10. Antimicrobials. PowerPoint Lecture Slides for MICROBIOLOGY ROBERT W. BAUMAN
PowerPoint Lecture Slides for MICROBIOLOGY ROBERT W. BAUMAN Chapter 10 Antimicrobials Antimicrobial Drugs Chemotherapy - The use of drugs to treat a disease Antimicrobial drugs - Interfere with the growth
More informationby author How to effectively report laboratory findings to clinicians (Breakpoints and Interpretation)
How to effectively report laboratory findings to clinicians (Breakpoints and Interpretation) A Vatopoulos National School of Public Health & Central Public Health Laboratory KEELPNO Antibiotic Activity
More informationEtienne Ruppé AP HP, Hôpital Bichat Claude Bernard UMR 1137 IAME
Etienne Ruppé AP HP, Hôpital Bichat Claude Bernard UMR 1137 IAME Disclosures Consultant for DaVolterra and MaaT Pharma Received funds by biomérieux 2 1. The intestinal microbiota 3 16S profiling 16S and
More informationAntibiotic resistance VanA
TM Primerdesign Ltd Antibiotic resistance VanA Vancomycin resistance protein A (vana) gene genesig Standard Kit 150 tests For general laboratory and research use only 1 Introduction to Antibiotic resistance
More informationBiofilm Protocol Optimization For Pseudomonas aeruginosa. Introduction. Materials and Methods. Culture Media, Incubation Time, and Biofilm Measurement
Biofilm Protocol Optimization For Pseudomonas aeruginosa Culture Media, Incubation Time, and Biofilm Measurement Introduction In addition to the conventional arsenal of antibiotic resistance mechanisms
More information2014 Pearson Education, Inc. CH 8: Recombinant DNA Technology
CH 8: Recombinant DNA Technology Biotechnology the use of microorganisms to make practical products Recombinant DNA = DNA from 2 different sources What is Recombinant DNA Technology? modifying genomes
More informationMethicillin resistant Staphylococcus aureus (MRSA)- Background and analysis
Methicillin resistant Staphylococcus aureus ()- Background and analysis Outline Staphylococcus aureus Classification Ecology Commensal vs pathogenic S. aureus Definition Resistance determinant and mechanism
More informationDNA Methods in Clinical Microbiology
DNA Methods in Clinical Microbiology DNA Methods Ill Clinical Microbiology by Paul Singleton SPRINGER-SCIENCE+BUSINESS MEDIA, B.V. A C.I.P. Catalogue record for this book is available from the Library
More informationAntibiotic Susceptibility Testing (ABST/AST)
Antibiotic Susceptibility Testing (ABST/AST) Goal Offer guidance to physicians in selecting effective antibacterial therapy for a pathogen in a specific body site. Performed on bacteria isolated from clinical
More informationInfectious Disease. Normal Flora. Virulence and Pathogenicity. Toxicity vs. Invasiveness
Microbes as Agents of Infectious Disease Normal Flora Virulence and Pathogenicity i Toxicity vs. Invasiveness WE ARE NOT ALONE! We are outnumbered. The average human contains about 10 trillion cells. On
More informationNot so long ago, it seemed
Feature Article How to Fight Back Against Antibiotic Resistance Mapping the exchange of genes between pathogens and nonpathogens offers new ways to understand and manage the spread of drug-resistant strains.
More informationRecent technology allow production of microarrays composed of 70-mers (essentially a hybrid of the two techniques)
Microarrays and Transcript Profiling Gene expression patterns are traditionally studied using Northern blots (DNA-RNA hybridization assays). This approach involves separation of total or polya + RNA on
More informationMetagenomics of the Human Intestinal Tract
Metagenomics of the Human Intestinal Tract http://www.metahit.eu This presentation is licensed under the Creative Commons Attribution 3.0 Unported License available at http://creativecommons.org/licenses/by/3.0/
More informationOverview on resistance mechanisms in Grampositive. Institute of Medical Microbiology University of Zürich, Switzerland B.
Overview on resistance mechanisms in Grampositive bacteria Institute of Medical Microbiology University of Zürich, Switzerland B. Berger-Bächi Antibiotic resistance Selective advantage in hospitals: selection
More informationBIOINF/BENG/BIMM/CHEM/CSE 184: Computational Molecular Biology. Lecture 2: Microarray analysis
BIOINF/BENG/BIMM/CHEM/CSE 184: Computational Molecular Biology Lecture 2: Microarray analysis Genome wide measurement of gene transcription using DNA microarray Bruce Alberts, et al., Molecular Biology
More informationDiscussion Items. Microbial Indicators of Water Quality
Discussion Items! Announcements! Group Project topics! Discuss previous lab (Microbes in food) Results Lab report Isolates streak isolate by Thursday.! Microbial analysis of water (Tuesday) MPN and MF!
More informationGenome engineering and direct cloning of antibiotic gene clusters via phage BT1
Genome engineering and direct cloning of antibiotic gene clusters via phage BT1 integrase-mediated site-specific recombination in Streptomyces Deyao Du a,b#, Lu Wang a,c#, Yuqing Tian a, Hao Liu c, Huarong
More informationCH 8: Recombinant DNA Technology
CH 8: Recombinant DNA Technology Biotechnology the use of microorganisms to make practical products Recombinant DNA = DNA from 2 different sources What is Recombinant DNA Technology? modifying genomes
More informationSupplementary Figure S1 A: receiver operating characteristic (ROC) curve plotting
Supplementary Figure S1 A: receiver operating characteristic (ROC) curve plotting false positive rate (FPR) and true positive rate (TPR); B: precision / recall curve plotting precision rate and recall
More informationPHICO THERAPEUTICS. SASPject: First in a new class of novel biological antibacterials. Dr Adam Wilkinson R&D Manager
PHICO THERAPEUTICS SASPject: First in a new class of novel biological antibacterials Dr Adam Wilkinson R&D Manager Phico Founded 2000 by CEO Dr Heather Fairhead 20 employees Raised 13 M from 140 shareholders
More informationGenetics Lecture 21 Recombinant DNA
Genetics Lecture 21 Recombinant DNA Recombinant DNA In 1971, a paper published by Kathleen Danna and Daniel Nathans marked the beginning of the recombinant DNA era. The paper described the isolation of
More informationGENOMERA TM MRSA/SA PRODUCTS A NEW ERA IN DIRECT MRSA DNA TESTING. Bringing genetic MRSA results in less than 1 hour!
GENOMERA TM MRSA/SA PRODUCTS A NEW ERA IN DIRECT MRSA DNA TESTING Bringing genetic MRSA results in less than 1 hour! IMPROVING PATIENT CARE THROUGH EARLIER DETECTION OF MRSA AND SA FAST MRSA AND SA DETECTION
More informationAdvanced Technology in Phytoplasma Research
Advanced Technology in Phytoplasma Research Sequencing and Phylogenetics Wednesday July 8 Pauline Wang pauline.wang@utoronto.ca Lethal Yellowing Disease Phytoplasma Healthy palm Lethal yellowing of palm
More informationEnterococcus faecalis
Techne qpcr test Enterococcus faecalis groes heat shock protein 150 tests For general laboratory and research use only 1 Introduction to Enterococcus faecalis Enterococcus faecalis is a Gram-positive commensally
More informationTransmission of genetic variation: conjugation. Transmission of genetic variation: conjugation. Transmission of genetic variation: F+ conjugation
Transmission of genetic variation: conjugation Transmission of genetic variation: conjugation Direct transfer of DNA from one strain to another mediated by fertility factor (F). Best studied in E. coli,
More informationIntroduction to Whole Genome Sequencing and its Applications in Microbial Diagnostics
Introduction to Whole Genome Sequencing and its Applications in Microbial Diagnostics Workshop on Whole Genome Sequencing and Analysis, 19-21 Mar. 2018 Whole genome sequencing is currently revolutionising
More informationMechanisms of the post-antibiotic effects induced by rifampicin and gentamicin in Escherichia coli
Journal of Antimicrobial Chemotherapy (26) 58, 444 448 doi:1.193/jac/dkl225 Advance Access publication 3 May 26 Mechanisms of the post-antibiotic effects induced by rifampicin and gentamicin in Escherichia
More informationModel of antibiotic action on bacterial growth
Model of antibiotic action on bacterial growth Martin R. Evans SUPA, School of Physics and Astronomy, University of Edinburgh, U.K. November 15, 2016 Collaborators: Philip Greulich (Edinburgh then Cambridge
More informationEnterococcus faecium. genesig Standard Kit. groes heat shock protein. 150 tests. Primerdesign Ltd. For general laboratory and research use only
TM Primerdesign Ltd Enterococcus faecium groes heat shock protein genesig Standard Kit 150 tests For general laboratory and research use only 1 Introduction to Enterococcus faecium E. faecium is a Gram-positive,
More informationDNA amplification and analysis: minipcr TM Food Safety Lab
Science for everyone, everywhere DNA amplification and analysis: minipcr TM Food Safety Lab Release date: 09 September 2014 Welcome Our goals for today: Review DNA amplification theory Solve a public health
More informationNEXT STEP TO STOP THE SPREAD OF ANTIMICROBIAL RESISTANCE. Patricia Ruiz Garbajosa Servicio de Microbiología Hospital Universitario Ramón y Cajal
NEXT STEP TO STOP THE SPREAD OF ANTIMICROBIAL RESISTANCE Patricia Ruiz Garbajosa Servicio de Microbiología Hospital Universitario Ramón y Cajal ANTIMICROBIAL RESISTANCE AND HEALTHCARE-ASSOCIATED INFECTION
More informationRapid Bacterial Identification Using a Mass Spectrometry Based Molecular Diagnostics Approach: Evaluation of the Iridica Platform
Rapid Bacterial Identification Using a Mass Spectrometry Based Molecular Diagnostics Approach: Evaluation of the Iridica Platform Alec Saitman, PhD, Jane Y. Yang PhD, Sharon Reed, David Pride, Michele
More informationSuggest a technique that could be used to provide molecular evidence that all English Elm trees form a clone. ... [1]
1 Molecular evidence E Ulmus procera, form a genetically isolated clone. English Elms developed from a variety of elm brought to Britain from Rome in the first century A.D. Although English Elm trees make
More informationLESSON FIVE A: BACTERIAL RESEARCH
LESSON FIVE A: BACTERIAL RESEARCH KEY QUESTION(S): How are genomic islands related to the pathogenicity of specific bacteria? How do web based tools like PATRIC use comparative genomics to find genomic
More informationOMNIgene GUT stabilizes the microbiome profile at ambient temperature for 60 days and during transport
OMNIgene GUT stabilizes the microbiome profile at ambient temperature for 60 days and during transport Evgueni Doukhanine, Anne Bouevitch, Ashlee Brown, Jessica Gage LaVecchia, Carlos Merino and Lindsay
More informationBIO8041 BIO3030. Antimicrobial Drug Discovery
BIO8041 BIO3030 Antimicrobial Drug Discovery Module overview Intended Knowledge Outcomes The aim of this module is to demonstrate various routes to the discovery of microbial products with commercial value.
More informationMechanisms and Pathways of AMR in the Environment
FMM/RAS/298: Strengthening capacities, policies and national action plans on prudent and responsible use of antimicrobials in fisheries Mechanisms and Pathways of AMR in the Environment Omar Elhassan -
More informationChapter 10 Microbial Genetics: New Genes for Old Germs
Chapter 10 Microbial Genetics: New Genes for Old Germs Objectives: After reading Chapter Ten, you should understand The structure and complexity of the bacterial chromosome and the significance of plasmids.
More informationEnterococcus faecalis genesig Easy Kit for use on the genesig q16
TM Primerdesign Ltd genesig Easy Kit for use on the genesig q16 50 reaction For general laboratory and research use only 1 genesig Easy: at a glance guide For each DNA test Component Volume Lab-in-a-box
More information